// Matt Text Analytics Part 7 public static void CallTextAnalyticsEntityAPI() { try { // Get the file name Console.WriteLine("Please enter a some text to analyze:"); var message = Console.ReadLine(); var document = new MultiLanguageInput() { Id = Guid.NewGuid().ToString(), Language = "en-US", Text = message }; var documentList = new List <MultiLanguageInput>(); documentList.Add(document); var query = new TextAnalyticsQuery(Constants.TEXT_ANALYTICS_PREVIEW_URL, Constants.TEXT_ANALYTICS_KEY, documentList.ToArray()); var result = TextAnalyticsService.callTextAnalyticsEntityAPI(query).Result; ExportJSON(JsonConvert.SerializeObject(result)); Console.WriteLine("\nPress Enter to exit "); Console.ReadLine(); } catch (Exception ex) { Console.WriteLine("Error: " + ex.Message); Console.ReadLine(); throw; } }
/// <summary> /// Button event. Creates all the inputs from the excel data /// from each selected column and extract data based on the selected actions /// then displays the 'Generate form' /// </summary> /// <param name="sender"></param> /// <param name="e"></param> private void ExecuteBtn_Click(object sender, EventArgs e) { ColumnIndexes.Clear(); if (relevantLb.Items.Count == 0) { MessageBox.Show("You haven't selected any columns that are relevant", "Error"); return; } // Adds all the columns selected into a list for (int i = 0; i < relevantLb.Items.Count; i++) { ColumnIndexes.Add(GetColumnIndex(relevantLb.Items[i].ToString())); } // Objects TextAnalyticClient textAnalysisClient = new TextAnalyticClient(); // Lists List <MultiLanguageInput> MultiInput = new List <MultiLanguageInput>(); List <Input> Inputs = new List <Input>(); // Variables int count = 0; // Loop through all rows in the selected columns and extract data into a 'Input' foreach (DataGridViewRow row in dataGridView.Rows) { for (int i = 0; i < ColumnIndexes.Count; i++) { if (row.Cells[ColumnIndexes[i]].Value != null) { count++; Input Input = new Input { Id = Convert.ToString(count), Text = Convert.ToString(row.Cells[ColumnIndexes[i]].Value) }; Inputs.Add(Input); } } } // Converts from Input to MultiInput for (int i = 0; i < Inputs.Count; i++) { MultiLanguageInput Input = new MultiLanguageInput { Language = "En", Id = Inputs[i].Id, Text = Inputs[i].Text }; MultiInput.Add(Input); } Generate GenerateFrm = new Generate(SelectedActions, Inputs, MultiInput); GenerateFrm.ShowDialog(); }
private List <MultiLanguageInput> ConstructMultiLanguageInputList(long mlIdentifierValue) { List <MultiLanguageInput> tempMLIList = new List <MultiLanguageInput>(); MultiLanguageInput mli = null; SQLParametersList paramsList = new SQLParametersList(); string query = "SELECT L.LanguageID, L.Name, L.MSNetCode, L.JavaLocaleCode, L.PhraseTerm, L.RightToLeftText, T." + MLColumnName + " AS Translation " + " FROM Languages AS L LEFT JOIN " + MLTableName + " AS T ON T.LanguageID=L.LanguageID AND T." + MLITranslationColumn + "=@MLIdentifierValue " + " WHERE L.LanguageID in (SELECT TLV.LanguageID FROM TransLanguagesCF_UE AS TLV) " + " ORDER BY CASE WHEN L.LanguageID=1 THEN 1 ELSE 2 END, L.LanguageID;"; paramsList.Add("@MLIdentifierValue", System.Data.SqlDbType.BigInt).Value = mlIdentifierValue; DataTable dt = dbAccess.ExecuteQuery(DataBases.LogixRT, System.Data.CommandType.Text, query, paramsList); foreach (DataRow row in dt.Rows) { mli = new MultiLanguageInput(); mli.LanguageID = Convert.ToInt32(row["LanguageID"]); if (mli.LanguageID == CustomerFacingLangID) { mli.Translation = MLDefaultLanguageStandardValue; } else { mli.Translation = row["Translation"].ToString(); } mli.Name = (this.Page as AuthenticatedUI).PhraseLib.Lookup(row["PhraseTerm"].ToString(), defaultLanguageId); mli.MSNetCode = row["MSNetCode"].ToString(); mli.JavaLocaleCode = row["JavaLocaleCode"].ToString(); mli.PhraseTerm = row["PhraseTerm"].ToString(); mli.RightToLeftText = row["RightToLeftText"].ToString(); mli.IdentifierValue = mlIdentifierValue; tempMLIList.Add(mli); } return(tempMLIList); }
private IEnumerable <MultiLanguageInput> SplitFiveHundredChars(string input) { var inputs = new List <MultiLanguageInput>(); if (string.IsNullOrEmpty(input)) { return(inputs); } var id = 0; for (var i = 0; i < input.Length; i += _splitTextLength) { var multiLanguageInput = new MultiLanguageInput { Id = id.ToString(CultureInfo.InvariantCulture), Language = _config.TextAnalyticsLanguage }; if ((i + _splitTextLength) < input.Length) { multiLanguageInput.Text = input.Substring(i, Math.Min(500, input.Length - i)); id++; } else { multiLanguageInput.Text = input; } inputs.Add(multiLanguageInput); } return(inputs); }
public static Input ConvertToRegularInput(this MultiLanguageInput multiLanguageInput) { return(new Input { Id = multiLanguageInput.Id, Text = multiLanguageInput.Text }); }
private List <MultiLanguageInput> FetchCommentsFromDB(SqlConnection connection) { List <MultiLanguageInput> comments = new List <MultiLanguageInput>(); try { connection.Open(); using (var fetchComments = new SqlCommand("SELECT [AP_summary] AS [Text], [Ap_ApId] AS [ID] FROM [dbo].[IM_Appointments] WHERE [AP_summary] IS NOT NULL", connection)) { using (var commentReader = fetchComments.ExecuteReader()) { while (commentReader.Read()) { var comment = new MultiLanguageInput() { Id = commentReader["ID"].ToString(), Text = commentReader["Text"].ToString() }; comments.Add(comment); } } } } catch (Exception ex) { Console.WriteLine("Couldn't read from DB"); Console.WriteLine(ex.Message); } finally { connection.Close(); } return(comments); }
private void repMLIInputs_ItemDataBound(object sender, RepeaterItemEventArgs e) { //Get the translations from the multilanguage usercontrol if (e.Item.DataItem != null) { MultiLanguageInput mli = (MultiLanguageInput)e.Item.DataItem; CouponTierTranslation tierTrans = new CouponTierTranslation(); tierTrans.LanguageId = mli.LanguageID; tierTrans.CouponTierID = mli.IdentifierValue.ConvertToInt32(); tierTrans.DeliverableMessage = mli.Translation.Trim(); tierTransData.Add(tierTrans); } }
public static async Task <SentimentResult> AnalyzeWords(string words) { SentimentResult sentimentResult = new SentimentResult(); try { var sentimentInput = new MultiLanguageInput(text: words, id: "1"); // First find out the input language var detectLanguageInput = new Input(id: "1", text: words); var languageResult = await client.DetectLanguageAsync(new BatchInput(new List <Input> { detectLanguageInput }), numberOfLanguagesToDetect : 1); if (languageResult.Errors.Count > 0) { return(null); } sentimentResult.DetectedLanguage = languageResult.Documents.FirstOrDefault().DetectedLanguages.FirstOrDefault().Iso6391Name; // Setup for the sentiment sentimentInput.Language = sentimentResult.DetectedLanguage; var mlbi = new MultiLanguageBatchInput(new List <MultiLanguageInput>() { sentimentInput }); // Find the sentiment! var sentimentResultCall = await client.SentimentAsync(mlbi); if (sentimentResultCall.Errors.Count > 0) { return(null); } sentimentResult.SentimentAnalysis = sentimentResultCall.Documents.FirstOrDefault().Score ?? 0; sentimentResult.ScoreResult(); return(sentimentResult); } catch (Exception ex) { System.Diagnostics.Debug.WriteLine(ex.Message); } return(sentimentResult); }
public async Task <double?> AnalyzeSentiment(string input) { var client = new TextAnalyticsAPI(); client.AzureRegion = AzureRegions.Westus; client.SubscriptionKey = "7003dfb3f5484db4829a98c046cef71b"; var langInput = new MultiLanguageInput("en", "1", input); var batchInput = new MultiLanguageBatchInput(new List <MultiLanguageInput> { langInput }); var sentiment = await client.SentimentAsync(batchInput); var result = sentiment.Documents.Single(); return(result.Score); }
public SentimentBatchResult GetSentiment(List <SentimentPhrase> sentimentPhrases) { if (sentimentPhrases.Count > 1000) { throw new Exception("The limit of 1000 phrases has been exceeded - none of your list will have been sent for analysis "); } var items = new List <MultiLanguageInput>(); foreach (var s in sentimentPhrases) { var input = new MultiLanguageInput(s.LanguageCode, s.Id, s.Phrase); items.Add(input); } var result = _client.Sentiment(new MultiLanguageBatchInput(items)); return(result); }
public async static Task <List <MultiLanguageInput> > GetTweets(string query) { List <MultiLanguageInput> TweetInput = new List <MultiLanguageInput>(); Auth.SetUserCredentials(creds.ConsumerKey, creds.ConsumerSecret, creds.AccessToken, creds.AccessSecret); //var tweets = await SearchAsync.SearchTweets(query); Tweets = await SearchAsync.SearchTweets(query); List <Tweetinvi.Models.ITweet> tweetList = Tweets.ToList(); int i = 0; foreach (Tweetinvi.Models.ITweet item in tweetList) { var k = new MultiLanguageInput("en", i.ToString(), item.FullText); TweetInput.Add(k); i++; } return(TweetInput); }
public KeyPhraseBatchResult GetKeyPhraseList(IList <LanguageModel> list) { ITextAnalyticsAPI client = new TextAnalyticsAPI(); client.AzureRegion = AzureRegions.Westeurope; client.SubscriptionKey = ""; var listInput = new List <MultiLanguageInput>(); for (int i = 0; i < list.Count; i++) { var language = DetectLanguageServiceForAString(list[i].Text).Documents[0].DetectedLanguages[0].Iso6391Name; var input = new MultiLanguageInput(list[i].Language, i.ToString(), list[i].Text); listInput.Add(input); } KeyPhraseBatchResult result2 = client.KeyPhrases( new MultiLanguageBatchInput(listInput)); return(result2); }
/// <summary> /// Button event. Collects the inputs from the list box and sends them off to the API /// </summary> /// <param name="sender"></param> /// <param name="e"></param> private void runBtn_Click(object sender, EventArgs e) { if (ItemLb.Items.Count > 0) { List <Input> Inputs = new List <Input>(); List <MultiLanguageInput> MultiInput = new List <MultiLanguageInput>(); int count = 0; for (int i = 0; i < ItemLb.Items.Count; i++) { count++; Input Input = new Input { Id = Convert.ToString(count), Text = Convert.ToString(ItemLb.Items[i].ToString()) }; Inputs.Add(Input); } for (int i = 0; i < Inputs.Count; i++) { MultiLanguageInput Input = new MultiLanguageInput { Language = "En", Id = Inputs[i].Id, Text = Inputs[i].Text }; MultiInput.Add(Input); } Generate GenerateFrm = new Generate(SelectedActions, Inputs, MultiInput); GenerateFrm.ShowDialog(); } else { MessageBox.Show("No inputs available", "Error"); } }
//public List<SentimentResults> extractingKeyPhrases(List<GuestGeek_DBService.CrimeTweets> crimeTweets) //{ // // Create a client.--------------------------------------------------------------------------------------------------------------------------------- // ITextAnalyticsClient client = new TextAnalyticsClient(new ApiKeyServiceClientCredentials()) // { // Endpoint = "https://westeurope.api.cognitive.microsoft.com/text/analytics/v2.0/" // }; // System.Console.OutputEncoding = System.Text.Encoding.UTF8; // // Getting key phrases.--------------------------------------------------------------------------------------------------------------------------------- // Console.WriteLine("\n\n===== KEY-PHRASE EXTRACTION ======"); // List<MultiLanguageInput> keyPhrases = new List<MultiLanguageInput>(); // foreach (GuestGeek_DBService.CrimeTweets ct in crimeTweets) // { // MultiLanguageInput inp = new MultiLanguageInput(; // myInp.Add(inp); // } // KeyPhraseBatchResult result2 = client.KeyPhrasesAsync(new MultiLanguageBatchInput( // new List<MultiLanguageInput>() // { // new MultiLanguageInput("ja", "1", "猫は幸せ"), // new MultiLanguageInput("de", "2", "Fahrt nach Stuttgart und dann zum Hotel zu Fu."), // new MultiLanguageInput("en", "3", "My cat is stiff as a rock."), // new MultiLanguageInput("es", "4", "A mi me encanta el fútbol!") // })).Result; // // Printing key phrases. // foreach (var document in result2.Documents) // { // Console.WriteLine("Document ID: {0} ", document.Id); // Console.WriteLine("\t Key phrases:"); // foreach (string keyphrase in document.KeyPhrases) // { // Console.WriteLine("\t\t" + keyphrase); // } // } //} //static async void MakeRequest() //{ // var client = new HttpClient(); // var queryString = HttpUtility.ParseQueryString(string.Empty); // // Request headers // client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", TwitterKeys.getTextAnalyticsKey()); // var uri = "https://westus.api.cognitive.microsoft.com/text/analytics/v2.0/languages?" + queryString; // HttpResponseMessage response; // // Request body // byte[] byteData = Encoding.UTF8.GetBytes("{body}"); // using (var content = new ByteArrayContent(byteData)) // { // content.Headers.ContentType = new MediaTypeHeaderValue("application/json"); // response = await client.PostAsync(uri, content); // } //} public List <SentimentResults> fullAnalysis(List <DB_Service.CrimeTweets> crimeTweets) { // Create a client.--------------------------------------------------------------------------------------------------------------------------------- ITextAnalyticsClient client = new TextAnalyticsClient(new ApiKeyServiceClientCredentials()) { Endpoint = "https://westeurope.api.cognitive.microsoft.com/text/analytics/v2.0/" }; System.Console.OutputEncoding = System.Text.Encoding.UTF8; // Extracting language.--------------------------------------------------------------------------------------------------------------------------------- Console.WriteLine("===== LANGUAGE EXTRACTION ======"); List <Input> myInp = new List <Input>();//Languages foreach (DB_Service.CrimeTweets ct in crimeTweets) { //Sentiment.Sentiment.sanitize(ct.message); Input inp = new Input(ct.tweet_id.ToString(), ct.message); myInp.Add(inp); } LanguageBatchResult result = null; try { result = client.DetectLanguageAsync(new BatchInput(myInp)).Result; //Task.Run(() => client.DetectLanguageAsync(new BatchInput(myInp)).Result).Wait(); } catch (AggregateException aex) { string messages = ""; foreach (Exception ex in aex.InnerExceptions) { messages += ex.Message + "\r\n"; } Debug.WriteLine(messages); } // Printing language results. List <SentimentResults> tweetLangs = new List <SentimentResults>();//Language foreach (var document in result.Documents) { SentimentResults tr = new SentimentResults(); tr.language_short = document.DetectedLanguages[0].Iso6391Name; tr.tweet_id = Int32.Parse(document.Id); tr.language = document.DetectedLanguages[0].Name; tweetLangs.Add(tr); } // Getting key phrases.--------------------------------------------------------------------------------------------------------------------------------- Console.WriteLine("\n\n===== KEY-PHRASE EXTRACTION ======"); List <MultiLanguageInput> keyPhrases = new List <MultiLanguageInput>();//Key phrases int count = 0; foreach (DB_Service.CrimeTweets ct in crimeTweets) { string tempLang = tweetLangs.ElementAt <SentimentResults>(count).language_short; MultiLanguageInput inp = new MultiLanguageInput(tempLang, ct.tweet_id.ToString(), ct.message); keyPhrases.Add(inp); count++; } KeyPhraseBatchResult result2 = client.KeyPhrasesAsync(new MultiLanguageBatchInput(keyPhrases)).Result; // Printing key phrases. List <string> phrases = new List <string>(); List <SentimentResults> tweetKeyPhrases = new List <SentimentResults>(); count = 0; foreach (var document in result2.Documents) { //Console.WriteLine("Document ID: {0} ", document.Id); //Console.WriteLine("\t Key phrases:"); foreach (string keyphrase in document.KeyPhrases) { //Console.WriteLine("\t\t" + keyphrase); phrases.Add(keyphrase); } SentimentResults sr = new SentimentResults(); sr = tweetLangs.ElementAt <SentimentResults>(count); sr.keyPhrases = phrases; tweetKeyPhrases.Add(sr); count++; } // Analyzing sentiment.--------------------------------------------------------------------------------------------------------------------------------- Console.WriteLine("\n\n===== SENTIMENT ANALYSIS ======"); List <MultiLanguageInput> sentiAni = new List <MultiLanguageInput>();//Sentiment Analysis count = 0; foreach (DB_Service.CrimeTweets ct in crimeTweets) { string tempLang = tweetKeyPhrases.ElementAt <SentimentResults>(count).language_short; MultiLanguageInput inp = new MultiLanguageInput(tempLang, ct.tweet_id.ToString(), ct.message); sentiAni.Add(inp); count++; } SentimentBatchResult result3 = client.SentimentAsync(new MultiLanguageBatchInput(sentiAni)).Result; // Printing sentiment results. List <SentimentResults> tweetSentiments = new List <SentimentResults>(); count = 0; foreach (var document in result3.Documents) { //Console.WriteLine("Document ID: {0} , Sentiment Score: {1:0.00}", document.Id, document.Score); SentimentResults sr = new SentimentResults(); sr = tweetKeyPhrases.ElementAt <SentimentResults>(count); sr.senti_score = (double)document.Score; tweetSentiments.Add(sr); count++; } List <DB_Service.Sentiments> completeSentiments = new List <DB_Service.Sentiments>(); foreach (SentimentResults finalResults in tweetSentiments) { DB_Service.Sentiments newSenti = new DB_Service.Sentiments(); newSenti.tweet_id = finalResults.tweet_id; newSenti.sentiment_total = finalResults.senti_score; newSenti.category_primary = finalResults.language + ", " + finalResults.language_short; StringBuilder wholePhrase = new StringBuilder(""); count = 0; foreach (String word in finalResults.keyPhrases) { count++; if (finalResults.keyPhrases.Count > count) { wholePhrase.Append(word + ","); } else { wholePhrase.Append(word); } } completeSentiments.Add(newSenti); } DB_Service.ServiceClient service = new DB_Service.ServiceClient(); service.addSentiments(completeSentiments); return(tweetSentiments); // Linking entities--------------------------------------------------------------------------------------------------------------------------------- //Console.WriteLine("\n\n===== ENTITY LINKING ======"); //EntitiesBatchResult result4 = client.EntitiesAsync( // new MultiLanguageBatchInput( // new List<MultiLanguageInput>() // { // new MultiLanguageInput("en", "0", "I really enjoy the new XBox One S. It has a clean look, it has 4K/HDR resolution and it is affordable."), // new MultiLanguageInput("en", "1", "The Seattle Seahawks won the Super Bowl in 2014."), // })).Result; //// Printing entity results. //foreach (var document in result4.Documents) //{ // Console.WriteLine("Document ID: {0} , Entities: {1}", document.Id, String.Join(", ", document.Entities.Select(entity => entity.Name))); //} }
public static List <SentimentResults> fullAnalysis(List <DB_Service.CrimeTweets> crimeTweets) {//------------------------------------------------------------------------------------------------------------------------------------- // Create a client. ITextAnalyticsClient client = new TextAnalyticsClient(new ApiKeyServiceClientCredentials()) { Endpoint = "https://westeurope.api.cognitive.microsoft.com" //https://westeurope.api.cognitive.microsoft.com/text/analytics/v2.0 }; //------------------------------------------------------------------------------------------------------------------------------------- // Extracting language List <Input> myInp = new List <Input>(); foreach (DB_Service.CrimeTweets ct in crimeTweets) { Input inp = new Input(ct.tweet_id.ToString(), ct.message); myInp.Add(inp); } var result = client.DetectLanguageAsync(new BatchInput(myInp)).Result; List <SentimentResults> tweetLangs = new List <SentimentResults>(); // Printing language results. foreach (var document in result.Documents) { SentimentResults sr = new SentimentResults(); sr.setTweet_id(Int32.Parse(document.Id)); sr.setLanguage_short(document.DetectedLanguages[0].Iso6391Name); sr.setLanguage(document.DetectedLanguages[0].Name); tweetLangs.Add(sr); } //------------------------------------------------------------------------------------------------------------------------------------- // Getting key-phrases List <MultiLanguageInput> keyPhrases = new List <MultiLanguageInput>();//Key phrases int count = 0; foreach (DB_Service.CrimeTweets ct in crimeTweets) { string tempLang = tweetLangs.ElementAt <SentimentResults>(count).getLanguage_short(); MultiLanguageInput inp = new MultiLanguageInput(tempLang, ct.tweet_id.ToString(), ct.message); keyPhrases.Add(inp); count++; } KeyPhraseBatchResult result2 = client.KeyPhrasesAsync(new MultiLanguageBatchInput(keyPhrases)).Result; // Printing keyphrases List <string> phrases = new List <string>(); List <SentimentResults> tweetKeyPhrases = new List <SentimentResults>(); count = 0; foreach (var document in result2.Documents) { foreach (string keyphrase in document.KeyPhrases) { phrases.Add(keyphrase); } SentimentResults sr = new SentimentResults(); sr = tweetLangs.ElementAt <SentimentResults>(count); sr.setKeyPhrases(phrases); tweetKeyPhrases.Add(sr); count++; } //------------------------------------------------------------------------------------------------------------------------------------- // Getting Sentiment Analysis List <MultiLanguageInput> sentiAni = new List <MultiLanguageInput>();//Sentiment Analysis count = 0; foreach (DB_Service.CrimeTweets ct in crimeTweets) { string tempLang = tweetKeyPhrases.ElementAt <SentimentResults>(count).getLanguage_short(); MultiLanguageInput inp = new MultiLanguageInput(tempLang, ct.tweet_id.ToString(), ct.message); sentiAni.Add(inp); count++; } SentimentBatchResult result3 = client.SentimentAsync(new MultiLanguageBatchInput(sentiAni)).Result; // Printing sentiment results List <SentimentResults> tweetSentiments = new List <SentimentResults>(); count = 0; foreach (var document in result3.Documents) { SentimentResults sr = new SentimentResults(); sr = tweetKeyPhrases.ElementAt <SentimentResults>(count); sr.setSenti_score((double)document.Score); tweetSentiments.Add(sr); count++; } //------------------------------------------------------------------------------------------------------------------------------------- // Getting Entities //Continue using the same list so languages wont change EntitiesBatchResult result4 = client.EntitiesAsync(new MultiLanguageBatchInput(sentiAni)).Result; // Printing entities results List <string> entitiySet = new List <string>(); List <SentimentResults> tweetEntities = new List <SentimentResults>(); count = 0; foreach (var document in result4.Documents) { foreach (EntityRecord entitiy in document.Entities) { entitiySet.Add(entitiy.Name); } SentimentResults sr = new SentimentResults(); sr = tweetSentiments.ElementAt <SentimentResults>(count); sr.setEntities(entitiySet); tweetEntities.Add(sr); count++; } //------------------------------------------------------------------------------------------------------------------------------------- //Add Data to Database Service List <DB_Service.Sentiments> completeSentiments = new List <DB_Service.Sentiments>(); List <DB_Service.Entities> completeEntities = new List <DB_Service.Entities>(); foreach (SentimentResults finalResults in tweetEntities) { //Start building Sentiment class DB_Service.Sentiments newSenti = new DB_Service.Sentiments(); newSenti.tweet_id = finalResults.getTweet_id(); newSenti.sentiment_total = finalResults.getSenti_score(); newSenti.category_primary = finalResults.getLanguage() + ", " + finalResults.getLanguage_short(); List <string> entList = finalResults.getEntities(); List <string> phraseList = finalResults.getKeyPhrases(); StringBuilder wholePhrase = new StringBuilder(""); count = 0; //Start building Entity Class if (entList != null && entList.Count > 0) { foreach (string entity in entList) { wholePhrase.Append(entity + ","); //DB_Service.Entities newEntity = new DB_Service.Entities(); //newEntity.name = entity; //newEntity.sentiment_id = -1//this is a programming design problem } } if (phraseList != null && phraseList.Count > 0) { foreach (string word in phraseList) { count++; if (phraseList.Count > count) { wholePhrase.Append(word + ","); } else { wholePhrase.Append(word); } } } newSenti.key_phrases = wholePhrase.ToString(); //List<string> EntList = finalResults.getEntities(); //if(EntList != null && EntList.Count > 0) //{ // //newSenti.category_primary = EntList.ElementAt<string>(0); //} //else //{ // newSenti.category_primary = ""; //} //Finish building Sentiment Class completeSentiments.Add(newSenti); } //Add to service now DB_Service.ServiceClient service = new DB_Service.ServiceClient(); service.addSentiments(completeSentiments); return(tweetEntities); }